Document Production Set Redaction with anonym.plus

Clear PII from a production set before you hand it to the other side.

Production-set redaction is the removal of personal data from documents you must produce under FRCP 34. anonym.plus marks each item on your own device. The text stays readable, but it no longer names a third party.

When this applies

You owe the requesting party a batch of responsive files. Each one may carry names, account numbers, and contacts that must come out before disclosure.

How anonym.plus handles it

  1. Open the responsive files in anonym.plus on your device.
  2. Local OCR reads scanned pages, so it catches printed text too.
  3. The tool flags names, dates, account numbers, and contacts.
  4. Check each flag and clear anything caught by mistake.
  5. Redact, replace, or mask each confirmed item.
  6. Save the clean set. The originals never leave your machine.

What you need to provide

PII entity types detected

Categoryanonym.plus entity typeExample
NamesPERSONMaria Schneider → [NAME]
DatesDATE_TIME03/11/2026 → [DATE]
AccountUS_BANK_NUMBERacct 884213 → [ACCOUNT]
ContactPHONE_NUMBER+1 415 555 0147 → [PHONE]
LocationLOCATION12 Market St → [ADDRESS]
IdentifiersUS_SSN078-05-1120 → [SSN]

Compliance achieved

Anonymize production sets offline — see plans & start free →

Limitations & cautions

The tool flags named items well. It cannot judge when a free-text clue, like a rare job plus a city, points to one person. Review such lines. OCR errors on poor scans also need a human check before disclosure.

Frequently asked questions

Does redaction here meet FRCP 34?

FRCP 34 governs what you must disclose, not how you redact. The tool strips PII so a responsive item can go out without exposing third-party data, and you log each cut.

Why work locally instead of in a cloud tool?

Uploading raw files to a vendor can risk privilege. Local work keeps the data in-house, so attorney-client and work-product protections stay intact.

Can I clean a whole folder at once?

Yes. Batch mode handles up to 20 files per run, each processed on your own device.